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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon Aurora

    Score8.1 out of 10
    N/AAmazon Aurora is a global-scale relational database service built for the cloud with full MySQL and PostgreSQL compatibility.N/A
    Pricing
    Amazon Aurora
    Editions & Modules
    No answers on this topic
    Offerings
    Pricing Offerings
    Amazon Aurora
    Free Trial
    No
    Free/Freemium Version
    No
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional Details—
    More Pricing Information
    Community Pulse
    Amazon Aurora
    Considered Both Products
    Amazon AWS
    Chose Amazon Aurora
    Easier to setup, more configuration available, faster
    Incentivized
    Chose Amazon Aurora
    SQL Server requires a license, and it's another hectic our organization did not want to go with.
    Incentivized
    Chose Amazon Aurora
    Both Acquia Digital Experience Platform and Amazon Aurora use MySQL and PostgreSQL. Acquia of course has more compatibility with other database system like MariaDB. But Amazon Aurora provides maximum 100GB for a single subscription and in subscription we can have multiple …
    Incentivized
    Chose Amazon Aurora
    Aurora offers automatic scaling for both read and write operations. While Azure does provide that option too, the easy of using Aurora and higher. Also, Aurora has a very high availability too.
    Incentivized
    Chose Amazon Aurora
    They're all great products to use and it really varies on your business use case. We picked Amazon Aurora because of its high availability support and scales very well
    Incentivized
    Chose Amazon Aurora
    Just about the same. We use Azure SQL for some of our larger projects.
    Incentivized
    Chose Amazon Aurora
    We selected Aurora for the possibility of both MySQL and PostgreSQL.
    Incentivized
    Chose Amazon Aurora
    MongoDB is also powerful and efficient with a large amount of data, well RavenDB is much powerful than Mongo, and has more facilities which I like and is better than Mongo. But, Amazon Aurora is much more powerful and confidential data management system, having a cool …
    Incentivized
    Chose Amazon Aurora
    All those products are very similar. the difference is the interface, the support and the API available for deploy the service.
    The main difference is cost
    Incentivized
    Chose Amazon Aurora
    .
    Incentivized
    Chose Amazon Aurora
    Simple and scalable
    Incentivized
    Chose Amazon Aurora
    I have selected because of its in built security feature which makes my data secure and also have an ability to create backup automatically. It is a fully managed relation database engine that is compatible with MySql and PostgreSQL. It has server less computing.
    Incentivized
    Chose Amazon Aurora
    Fully managed
    cost effective
    backups
    Incentivized
    Chose Amazon Aurora
    In my opinion, much better and is also more cost effective based on other products we've reviewed. We also utilize other products from AWS and it makes a perfect fit for not only our environment but the clients we work with as well.
    Incentivized
    Chose Amazon Aurora
    In my opinion, Amazon Aurora has all of the advantages of Amazon RDS for MySQL, with additional performance benefits.
    Incentivized
    Chose Amazon Aurora
    Aurora vs Athena: Aurora provided MySQL/Postgres/MariaDB as DB engine whereas Athena provides SQL interface over data stored in S3 as datalake. Aurora has high performance compared to Athena.

    Aurora vs Redshift:- Different Architectures. Redshift is faster as its engine is a …
    Incentivized
    Chose Amazon Aurora
    • Performance and Scalability: If an organization requires high performance and the ability to scale seamlessly to handle varying workloads, Amazon Aurora's architecture is well-suited for these needs.
    • High Availability: Organizations that prioritize uptime and require automatic …
    Incentivized
    Chose Amazon Aurora
    I wish Amazon Aurora was compatible with more than just PostgreSQL and MySQL.
    Mongodb
    Incentivized
    Chose Amazon Aurora
    Microsoft Azure SQL Database
    Incentivized
    Chose Amazon Aurora
    Because most of our resources were already deployed within our AWS account, we wanted to have everything under the same umbrella. Moreover, AWS workload identity layer was crucial in providing passwordless authentication to our Aurora endpoints.
    Incentivized
    Chose Amazon Aurora
    Each AWS service is best in its own way. Aurora is best in relational database. Codebuild is best when building and testing the application in SDLC and AWS CodePipeline is another solution for CI CD pipeline in Agile.
    Incentivized
    Chose Amazon Aurora
    The scalability, availability, and the iOPS are clearly the winners for Aurora. Other offerings are more managed solutions where again the focus shifts to the resources rather than the product.
    Incentivized
    Chose Amazon Aurora
    Aurora offers an easy-to-use MySQL or Postgres compatible database that is cloud native. This is great for LAMP / LAPP stack applications as it shortens development time considerably as you no longer need to spend time setting up databases, setting up database backups, and so …
    Incentivized
    Chose Amazon Aurora
    Amazon Aurora s strength is in the cost as it is economical, secure, and offers a huge storage space of 128 terabytes. Compared to its competitors, Aurora has a nice console offering ease of use through the click, copy and drag options. As per the requirement, the database can …
    Incentivized
    Chose Amazon Aurora
    Aurora vs RDS: Better replication and performance of Aurora as compared to RDS. Almost zero replication lag in most cases which is a big improvement over RDS. Scaling, maintenance, and overall ROI are higher in Aurora.

    Aurora vs Percona: Aurora comes well integrated with the …
    Incentivized
    Key User Insights
    Would buy again
    94%
    Would buy again
    34 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    29 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    35 Answers
    Lived up to sales and marketing promises
    96%
    Lived up to sales and marketing promises
    24 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    31 Answers
    Features
    Amazon Aurora
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Amazon Aurora
    Feature
    Amazon Aurora
    9.2
    26 Ratings
    9% above category average
    Automatic software patching9.026 Ratings
    Database scalability9.626 Ratings
    Automated backups9.625 Ratings
    Database security provisions9.124 Ratings
    Monitoring and metrics8.725 Ratings
    Automatic host deployment9.123 Ratings
    Best Alternatives
    Amazon Aurora
    Small Businesses
    Amazon ElastiCache
    Score9 out of 10
    Medium-sized Companies
    No answers on this topic
    Enterprises
    No answers on this topic
    All AlternativesView all alternatives
    User Ratings
    Amazon Aurora
    Likelihood to Recommend
    9.1
    (44 ratings)
    Likelihood to Renew
    9.9
    (4 ratings)
    Usability
    9.1
    (3 ratings)
    Availability
    9.7
    (23 ratings)
    Support Rating
    1.0
    (5 ratings)
    Online Training
    8.0
    (1 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    User Testimonials
    Amazon Aurora
    Likelihood to Recommend
    Amazon AWS
    Amazon Aurora is very well suited in situations where the application requires high scalability and has variable and unpredictable workloads. Also, real-time analysis and reporting could be performed easily using Aurora's read replica feature. Aurora might not be a good fit for applications that rely more on other cloud-based services such as Azure since there are some issues with regards to integrations
    Incentivized
    Read full review
    Pros
    Amazon AWS
    • No need to provision storage nor IOPS for the disks
    • Automatics continuos backups with the possibility to point-in-time restore in new database or backtrack to a point in time in the same database
    • Increase availability by using Read Replicas and also distributing read capacity using them for queries
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • Access to slow query, and error logs is a little cumbersome. Maybe, stream that to an AWS Elasticsearch, and provide searching out of the box (even if it means additional costs).
    • Upgrade to higher versions of MySQL is a problem.
    • Failovers to replica, although, they are not needed often, they can be made more seamless.
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    We have an entire infrastructure around Amazon Aurora. We ara confident on our decision, as Amazon Aurora has been able to evolve as database solution, keeping up with the latest trends, and is very well integrated on all the AWS environment. Furthermore, we use lots of services from AWS, and it's important that they all can be easily connected to improve each individual contribution.
    Incentivized
    Read full review
    Usability
    Amazon AWS
    Aurora is easy to deploy and operate from the AWS console, the command line, and with Infrastructure as Code tools like Cloudformation and Terraform. Integrating the endpoints into an application is easy because from the outside, the Aurora clusters look just like any other open source database. I have also seen benefit from using the instances within the cluster as distinct read and write endpoints allowing for further customization in our applications.
    Incentivized
    Read full review
    Reliability and Availability
    Amazon AWS
    This is a cost effective software for large data handlers who find difficulty in placing their data in a confidential manner, this provides almost everything which one needs for powerful data handling softwares , even though I find it lacking in somewhat interactiveness but yet this is worth effective and efficient for working and relating datas in several tuples.
    Incentivized
    Read full review
    Support Rating
    Amazon AWS
    The support as a whole cannot be applied to just Aurora, but I must say that the response to our tickets from the AWS side was a bit anemic. Despite that, there is plenty of documentation and forum articles that should make anybody self-serviced. Again, let me stress this out - the product (in either MySQL or Postgres form) was used by many people and thus now well understood, explained and there are plenty of books and other material available. This is not the case that we encountered with NoSQL.
    Incentivized
    Read full review
    Alternatives Considered
    Amazon AWS
    • Performance and Scalability: If an organization requires high performance and the ability to scale seamlessly to handle varying workloads, Amazon Aurora's architecture is well-suited for these needs.
    • High Availability: Organizations that prioritize uptime and require automatic failover in case of AZ failures can benefit from Aurora's multi-AZ deployments.
    • Ease of Management: AWS's managed service approach reduces administrative burden, allowing organizations to focus on their applications rather than database maintenance.
    • Security and Compliance: Aurora's security features make it appealing to organizations that deal with sensitive data or are subject to compliance regulations.
    • Compatibility: Organizations already using MySQL or PostgreSQL may find it easier to migrate to Aurora while maintaining familiarity with the database engine.
    Incentivized
    Read full review
    Return on Investment
    Amazon AWS
    • After migrating to Amazon Aurora, our speed of the query, database availability, and security has increased a lot from before.
    • It has an inbuilt autodetection and correction mechanism for locks in the database, which is a great asset for any team. It also enhances our database schema if it not properly structured.
    • If your requirements are not clear at the moment, but you know based on the project that it is going to be a big database, then you should go with Amazon Aurora as you can scale and descale based on your needs.
    Incentivized
    Read full review
    ScreenShots

    Amazon Aurora Screenshots

    Screenshot of A look inside the RDS console.